Sr Data Engineer (Databricks)

• Work with business and technology partners to analyze how the data warehouse, analytics and application will meet our goals
• Evaluate all proposed requests to determine fit with data warehouse, analytics and application solution architecture.
• Own data warehouse and analytics technical platform on Azure, from implementation to enhancements and ongoing operations
• Design, develop and coordinate cloud data and application solutions/projects across diverse groups and areas including enterprise architecture, application development, identity and access management, network and data management
• Provide technical direction and guidance to database and application developers
• Develop cloud security and access control solution/policy, data and BI standards, guidelines and best practice for business groups and technical teams
• Perform maintenance and troubleshooting activities for data warehouse, BI platform and other data projects and resolve issues
• Monitor system application logs and identify potential issues and improvements to ensure smooth operations
• Perform capacity planning, cloud cost analysis and optimization and provide recommendations to management
• Provide after-hour system and application support
• Develop multiple work plans for projects and prepare appropriate status reports and submit them to management

Do you have experience in Technical solutions implementation?, Do you have a Bachelor's degree?, Education: BS or equivalent in Computer Science or related field or a combination of technical skills, cloud, operating system, networking, security, data application, data modeling and BI background, * Minimum of 8 years of experience developing software and data solution for enterprise environment focusing on data and cloud applications with direct experience with application development, data warehouse and BI design, implementation, and operation

• Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake Storage, Power BI, and other Azure data solutions
• Knowledge or experience with infrastructure (operating system and networking) and cloud administration and automation such as Terraform for Infrastructure as Code.
• Knowledge of DevOps in application development such as GitHub Actions, or Powershell
• Experience with application development using Microsoft or cloud technologies (such as SQL, Azure, C#, Python)
• Experience with Machine Learning, MLOps
• Experience with investment management systems and processes
• Experience with Agile methodologies in a cloud, application, database, data warehousing and BI space